ML Research Hub – Telegram
ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

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🔹 Title: OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flows

🔹 Publication Date: Published on Oct 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03506
• PDF: https://arxiv.org/pdf/2510.03506
• Project Page: https://johnlnguyen.com/oneflow/

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🔹 Title: Training Dynamics Impact Post-Training Quantization Robustness

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06213
• PDF: https://arxiv.org/pdf/2510.06213

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🔹 Title: CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding

🔹 Publication Date: Published on Sep 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23379
• PDF: https://arxiv.org/pdf/2509.23379
• Project Page: https://x-izhang.github.io/CCD/
• Github: https://x-izhang.github.io/CCD/

🔹 Datasets citing this paper:
https://huggingface.co/datasets/X-iZhang/MIMIC-CXR-RRG
https://huggingface.co/datasets/X-iZhang/IU-Xray-RRG
https://huggingface.co/datasets/X-iZhang/CheXpert-plus-RRG
https://huggingface.co/datasets/X-iZhang/Medical-CXR-VQA

🔹 Spaces citing this paper:
https://huggingface.co/spaces/X-iZhang/CCD
https://huggingface.co/spaces/X-iZhang/Libra
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🔹 Title: ShapeGen4D: Towards High Quality 4D Shape Generation from Videos

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06208
• PDF: https://arxiv.org/pdf/2510.06208
• Github: https://shapegen4d.github.io/

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🔹 Title: Benchmark It Yourself (BIY): Preparing a Dataset and Benchmarking AI Models for Scatterplot-Related Tasks

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06071
• PDF: https://arxiv.org/pdf/2510.06071
• Github: https://github.com/feedzai/biy-paper

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🔹 Title: In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05592
• PDF: https://arxiv.org/pdf/2510.05592
• Project Page: https://agentflow.stanford.edu/
• Github: https://github.com/lupantech/AgentFlow

🔹 Datasets citing this paper:
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🔹 Spaces citing this paper:
https://huggingface.co/spaces/AgentFlow/agentflow
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🔹 Title: Drax: Speech Recognition with Discrete Flow Matching

🔹 Publication Date: Published on Oct 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04162
• PDF: https://arxiv.org/pdf/2510.04162

🔹 Datasets citing this paper:
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🔹 Title: Less is More: Recursive Reasoning with Tiny Networks

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04871
• PDF: https://arxiv.org/pdf/2510.04871

🔹 Datasets citing this paper:
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🔹 Title: Verifier-free Test-Time Sampling for Vision Language Action Models

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05681
• PDF: https://arxiv.org/pdf/2510.05681

🔹 Datasets citing this paper:
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🔹 Title: Presenting a Paper is an Art: Self-Improvement Aesthetic Agents for Academic Presentations

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05571
• PDF: https://arxiv.org/pdf/2510.05571
• Project Page: https://evopresent.github.io/#demo
• Github: https://evopresent.github.io/

🔹 Datasets citing this paper:
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🔹 Title: The Valley of Code Reasoning: Scaling Knowledge Distillation of Large Language Models

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06101
• PDF: https://arxiv.org/pdf/2510.06101

🔹 Datasets citing this paper:
https://huggingface.co/datasets/collinear-ai/valley-of-reasoning-data

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🔹 Title: On Code-Induced Reasoning in LLMs

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21499
• PDF: https://arxiv.org/pdf/2509.21499

🔹 Datasets citing this paper:
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🔹 Title: Scientific Algorithm Discovery by Augmenting AlphaEvolve with Deep Research

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06056
• PDF: https://arxiv.org/pdf/2510.06056
• Github: https://github.com/liugangcode/deepevolve

🔹 Datasets citing this paper:
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🔹 Title: Adaptive Pruning for Increased Robustness and Reduced Computational Overhead in Gaussian Process Accelerated Saddle Point Searches

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06030
• PDF: https://arxiv.org/pdf/2510.06030
• Github: https://github.com/theochemUI/otgpd_repro

🔹 Datasets citing this paper:
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🔹 Title: GRACE: Generative Representation Learning via Contrastive Policy Optimization

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04506
• PDF: https://arxiv.org/pdf/2510.04506
• Github: https://github.com/GasolSun36/GRACE

🔹 Datasets citing this paper:
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🔹 Title: Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05251
• PDF: https://arxiv.org/pdf/2510.05251
• Project Page: https://yangalan123.github.io/ead_rlvr/
• Github: https://github.com/yangalan123/EAD-RLVR/tree/annealed_sampling/recipe/ead

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🔹 Title: ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04514
• PDF: https://arxiv.org/pdf/2510.04514

🔹 Datasets citing this paper:
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🔹 Title: Scalable In-context Ranking with Generative Models

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05396
• PDF: https://arxiv.org/pdf/2510.05396

🔹 Datasets citing this paper:
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🔹 Title: MEMTRACK: Evaluating Long-Term Memory and State Tracking in Multi-Platform Dynamic Agent Environments

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01353
• PDF: https://arxiv.org/pdf/2510.01353

🔹 Datasets citing this paper:
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🔹 Title: SDQM: Synthetic Data Quality Metric for Object Detection Dataset Evaluation

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06596
• PDF: https://arxiv.org/pdf/2510.06596
• Github: https://github.com/ayushzenith/SDQM

🔹 Datasets citing this paper:
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🔹 Title: BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06528
• PDF: https://arxiv.org/pdf/2510.06528

🔹 Datasets citing this paper:
https://huggingface.co/datasets/Itsuki-music/BACHI_Chord_Recognition

🔹 Spaces citing this paper:
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